Abstract: Genetic modeling is used to generate new term sets from existing term sets within a population cluster. Term attributes corresponding to a first plurality of term sets are encoded as genes for a computer-executed genetic algorithm. Clients are clustered in categories based on client attributes. The genetics algorithm is applied to a category of clustered clients to distribute the term sets to clients in the category. A first subset of terms sets is removed after receiving, within a first duration of time, a number of client responses that falls below a first threshold. A second subset of term sets is retained after receiving, within a second duration of time, a number of client responses above a second threshold. The second subset is bred using the genetic algorithm and a second plurality of term sets is generated based on the results.

Abstract: Various embodiments are generally directed to techniques to enhance the security of physically delivered packages, items, or products, including postal mail. An article of manufacture associated with the enhanced security of one or more embodiments of the present disclosure can include: a container with a postage, a physical medium in the container, wherein the physical medium contains a sender message embodied on the surface of the physical medium, and wherein the sender message comprises: an unencrypted message, and two or more encrypted portions of a plurality of terms of service, where each of the two or more encrypted portions of the plurality of terms of service are associated with a distinct barcode corresponding to each of the two or more encrypted portions.

Abstract: The present disclosure relates to systems and methods for generating and using a singular ensemble model.

Abstract: A system is configured to receive first training data, train a first neural network (NN) based on the first training data, receive second training data, train a second NN based on the second training data, receive a first plain English phrase, provide the first plain English phrase to the first NN, generate, via the first NN, one or more first legal clauses based on the first plain English phrase, receive a second plain English phrase, provide the second plain English phrase to the first NN, generate, via the first NN, one or more second legal clauses based on the second plain English phrase, provide the one or more first legal clauses and the one or more second legal clauses to the second NN, and generate, via the second NN, a legal document based on the one or more first legal clauses and the one or more second legal clauses.

Abstract: Described herein are embodiments for managing comments in a program code file. A system may select program code and compile it to an intermediary code. The system may compare the intermediary code to a library of intermediary code snippets associated with comments. Based on the comparison, a system may recognize the code to be obsolete. In some embodiments, a system may generate one or more recommendations to update a code. Based on received feedback regarding a recommendation, a system may accordingly update a code.

Abstract: Systems and methods for ATM fraud detection are presented. ATM fraud detection may be provided in the context of including a currency sensor in the ATM to count currency notes. ATM fraud detection may be obtained by using a currency sensor, such as a scanner, to image and count any currency notes that remain after being dispensed to a user, and determining if the count is correct for the currency notes dispensed. A count discrepancy resulting from removal of some but not all dispensed currency notes would indicate attempted theft or fraud.

Abstract: A platform may receive a first smart contract. The first smart contract may be associated with an entity that stores a plurality of smart contracts in a distributed ledger. The platform may determine a state of the first smart contract and a state of a second smart contract and compare the state of the first smart contract and the state of the second smart contract. The platform may determine, based on the state of the first smart contract and the state of the second smart contract, that a conflict exists between the first smart contract and the second smart contract. The conflict may be determined based on at least one of the first smart contract or the second smart contract being in violation of a respective term of at least one of the first smart contract or the second smart contract.

Abstract: The present disclosure relates to systems and methods for determining synthetic information for documents. In one implementation, a system for determining synthetic information for documents may include at least one processor; and at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the system to perform operations comprising: receiving a plurality of documents; determining a distribution of values for pixels of the documents; identifying at least one input field based on the determined distribution; extracting information from the at least one input field; calculate at least one statistic associated with the extracted information; generating a template having the at least one input field; and inserting data based on the calculated at least one statistic into the at least one input field of the template to generate a synthetic document.

Abstract: Techniques and apparatus for providing peer-based management of user accounts are described. In one embodiment, for example, an apparatus may include at least one memory and logic coupled to the at least one memory. The logic may be configured to receive a request from at least one first user account to unlock a second user account locked responsive to a fraud event, determine a safe authentication value for the fraud event, and unlock the second user account responsive to the at least one first user account being a safe authentication account and the safe authentication value being over a safe authentication threshold value. Other embodiments are described.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for managing transactions by consolidating associated transactions. For instance, a method may include receiving transaction information for a transaction. The transaction information may include an identifier and a transaction amount associated with the transaction. The method may further include comparing the transaction amount to a threshold to determine whether the transaction amount is equal to or above the threshold, or whether the transaction amount is below the threshold. The method may include, in response to determining that the transaction amount is below the threshold, obtaining pending transaction information, analyzing the pending transaction information to determine whether there is at least one associated transaction associated with the transaction, and performing at least one processing action to resolve the transaction.

Abstract: A model optimizer is disclosed for managing training of models with automatic hyperparameter tuning. The model optimizer can perform a process including multiple steps. The steps can include receiving a model generation request, retrieving from a model storage a stored model and a stored hyperparameter value for the stored model, and provisioning computing resources with the stored model according to the stored hyperparameter value to generate a first trained model. The steps can further include provisioning the computing resources with the stored model according to a new hyperparameter value to generate a second trained model, determining a satisfaction of a termination condition, storing the second trained model and the new hyperparameter value in the model storage, and providing the second trained model in response to the model generation request.

Abstract: Methods and systems may be used for transfer learning of neural networks. According to one example, a method includes: grouping data objects of a first training set into a plurality of clusters; training a base model using a first cluster of the plurality of clusters, the base model being a neural network having a plurality of nodes; generalizing the base model to obtain a generalized base model, the generalizing the base model including setting a portion of the plurality of nodes to have random or predetermined weights; determining that the first cluster is, out of the plurality clusters, most similar to a second training set; and training the generalized base model using the second training set to obtain a trained model.

Abstract: An apparatus may include a memory to store instructions; and processing circuitry, coupled with the memory, operable to execute the instructions. When executed, the instructions may cause the processing circuitry to identify a matrix code; read a first layer of the matrix code, the first layer comprising a first account identifier associated with an account, wherein the first layer corresponds to a first color channel; and read a second layer of the matrix code, the second layer comprising a set of account data, associated with the account, wherein the second layer corresponds to a second color channel, different than the first color channel.

Abstract: Embodiments disclosed herein provide for dynamically modifying image and/or video content based on user preferences. Embodiments provide a server, a database containing user preference information and one or more content templates, and a content generator comprising a plurality of generative adversarial networks, wherein each generative adversarial network is associated with a corresponding style transfer, and the content generator is configured to apply one or more style transfers to a base image to convert the base image into a desired style. Once created, the customized content is sent to a client device to for display.

Abstract: Techniques to enhance the security of matrix codes. An aggregated matrix code may be scanned to obtain a certain level of access with respect to at least one feature of an application executed on a computer device. The aggregated matrix code may include a user-specific matrix code uniquely assignable to at least one user of a group of users and a base matrix code associated with the group of users.

Abstract: A computing system retrieves a credit check algorithm. The credit check algorithm utilizes one or more parameters for evaluation of a credit score of an individual. The computing system identifies a plurality of entities contributing parameters for the evaluation of the credit score of the individual. The computing system compiles the credit check algorithm into a plurality of components. Each component corresponds to a respective entity of the plurality of entities and each component generates an output unique to the respective entity. The computing system transmits each component to a respective entity of the plurality of entities. The computing system instructs each entity to share a respective output with each remaining entity. The computing system receives a credit score for the individual from each of the plurality of entities. Each credit score received from each entity is the same.

Abstract: A device receives information indicating first names and last names of individuals and applies different cursive fonts to each of the first names and the last names to generate images of different cursive first names and different cursive last names. The device applies different transformations to the images of the different cursive first names and the different cursive last names to generate a set of first name images and a set of last name images. The device combines each first name image with each last name image to form a set of signature images and trains a neural network model, with the set of signature images, to generate a trained neural network model. The device receives an image of a signature and processes the image of the signature, with the trained neural network model, to recognize a first name and a last name in the signature.

Abstract: Systems and methods for authenticating a user to access a public terminal are described. Disclosed embodiments may include reading, using the physical credential reader, a user identifier from the physical credential device. Disclosed embodiments may also include transmitting the public terminal identifier and the user identifier to a secure server. Further, disclosed embodiments may include receiving, after completing the transmission, a unique code from the secure server. Disclose embodiments may additionally include displaying the unique code on the display device. Disclosed embodiments may include receiving, after displaying the unique code, an authentication message from the secure server. Disclosed embodiments may further include, responsive to receiving the authentication message, authorizing the user to use a terminal command at the public terminal.

Abstract: Various embodiments are generally directed to techniques to reduce inputs of a machine learning model (MLM) and increase path efficiency as a result. A method for reducing an MLM includes: receiving a machine learning (ML) dataset, partitioning the ML dataset into a first dataset, a second dataset, a third dataset, and a fourth dataset, training, validating, and testing the MLM using one or more of the first dataset, the second dataset, and the third dataset, after testing the MLM, automatically ranking an importance associated with each input of the MLM using the fourth dataset, and reducing a plurality of inputs of the MLM based on the automatic ranking.

Abstract: Embodiments of systems and methods for generating user interfaces are described. In an embodiment, a monitoring tool can observe the user's interaction with a computing device, collect input and output operation data, and calculate a user effectiveness score based on the collected data. A user interface can be generated based on the user effectiveness score to match the user's proficiency.